HEALTH & CLIMATE CHANGE - COUNTRY PROFILE 2021 - Madagascar
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
CONTENTS 1 EXECUTIVE SUMMARY 2 KEY RECOMMENDATIONS 3 BACKGROUND 4 CLIMATE HAZARDS RELEVANT FOR HEALTH 7 HEALTH VULNERABILITY AND ADAPTIVE CAPACITY 9 HEALTH IMPACTS OF CLIMATE CHANGE 11 HEALTH SECTOR RESPONSE: MEASURING PROGRESS Acknowledgements This document was developed in collaboration with the Ministry of Health, the World Health Organization (WHO), the WHO Regional Office for Africa and the United Nations Framework Convention on Climate Change (UNFCCC). Financial support for this project was provided by the Norwegian Agency for Development Cooperation (NORAD) and the Wellcome Trust. ii Health and Climate Change Country Profile
EXECUTIVE SUMMARY Despite producing very little greenhouse gas the most vulnerable from climate risks and to emissions that cause climate change, people gain the health co-benefits of mitigation policies. living in small island developing States (SIDS) are The WHO Special Initiative on Climate Change on the front line of climate change impacts. These and Health in SIDS aims to provide national countries face a range of acute to long-term health authorities in SIDS with the political, risks, including extreme weather events such as technical and financial support required to better floods, droughts and cyclones, increased average understand and address the effects of climate temperatures and rising sea levels. Many of these change on health. countries already have a high burden of climate- sensitive diseases that are then exacerbated A global action plan has been developed by WHO by climate change. As is often the case, nations which outlines four pillars of action for achieving at greatest risk are often under-resourced and the vision of the initiative; empowerment unprotected in the face of escalating climate and of health leaders to engage nationally and pollution threats. In recent years, the voice of the internationally, evidence to build the investment small island nation leaders has become a force case, implementation to strengthen climate in raising the alarm for urgent global action to resilience, and resources to facilitate access safeguard populations everywhere, particularly to climate finance. In March 2018, Ministers those whose very existence is under threat. of Health gathered in Mauritius to develop an action plan to outline the implementation of the Recognizing the unique and immediate threats SIDS initiative locally and to identify national and faced by small islands, WHO has responded by regional indicators of progress. introducing the WHO Special Initiative on Climate Change and Health in Small Island Developing As part of the regional action plan, small island States (SIDS). The initiative was launched in nations have committed to developing a WHO November 2017 in collaboration with the United UNFCCC health and climate change country Nations Framework Convention on Climate profile to present evidence and monitor progress Change (UNFCCC) and the Fijian Presidency of on health and climate change. the COP23 in Bonn, Germany, with the vision that This WHO UNFCCC health and climate change by 2030 all health systems in SIDS will be resilient country profile for Madagascar provides a to climate variability and climate change. It is clear summary of available evidence on climate though that building resilience must happen in hazards, health vulnerabilities, health impacts parallel with the reduction of carbon emissions and progress to date in the health sector’s efforts by countries around the world in order to protect to realize a climate-resilient health system. Madagascar 1
KEY RECOMMENDATIONS STRENGTHEN IMPLEMENTATION OF MADAGASCAR’S NATIONAL 1 ADAPTATION PLAN FOR THE HEALTH SECTOR TO CLIMATE CHANGE Madagascar has an adaptation strategic plan for health sector to climate change, which was published in May 2021. Implementation of the health and climate change plan in Madagascar is reported to be low. Assess barriers to implementation of the plan/strategy (e.g. governance, evidence, monitoring and evaluation, finance). Implementation can be supported by exploring additional opportunities to access funds for health and climate change priorities (e.g. GCF readiness proposal). 2 STRENGTHEN COLLABORATION TO CARRY OUT RESEARCH ON HEALTH AND CLIMATE CHANGE IN MADAGASCAR Madagascar has a health and climate change working group, made up of key players in the health sector and the meteorological sector. This working group is headed jointly by the Director General of Meteorology and the health sector coordinator. Efforts should be made to strengthen collaborations with this health and climate change working group, to undertake and promote research on health and climate change in Madagascar. 3 UPDATE MADAGASCAR’S VULNERABILITY AND ADAPTATION CAPACITY ASSESSMENT Madagascar published a vulnerability and adaptation capacity assessment in 2015. Efforts should be made to update this assessment. 4 ESTABLISH AN EFFECTIVE EARLY WARNING SYSTEM FOR HEALTH AND CLIMATE CHANGE RISKS AT THE HEALTH DISTRICT LEVEL Climatic and meteorological information and parameters are used in Madagascar to produce and regularly distribute the climatology health bulletin. Effective early warning systems are required at the health district level regarding health and climate change risks. 5 BUILD CLIMATE-RESILIENT AND ENVIRONMENTALLY SUSTAINABLE HEALTH CARE FACILITIES Measures can be taken to prevent the potentially devastating impacts of climate change on health service provision. A commitment towards climate-resilient, environmentally sustainable health systems can improve system stability, promote a healing environment and mitigate climate change impacts. WHO RESOURCES TO SUPPORT ACTION ON THESE KEY RECOMMENDATIONS: https://www.who.int/activities/building-capacity-on-climate-change-human-health/toolkit/ 2 Health and Climate Change Country Profile
BACKGROUND Madagascar is a large island nation, located already being observed in Madagascar (3). For off the eastern coast of Africa in the Indian human health, these changes are likely to incur Ocean. The highland plateau across the centre significant burdens, such as food and water of Madagascar has created diverse ecosystems insecurity, displacement, and damage to public across the island (1). Whilst the climate is generally health systems (1). tropical, there are significant regional variations. Most notably, it is largely wet in the north and east, As a least developed country, Madagascar’s and dry in the south and west (2). Madagascar’s greenhouse gas emissions are very small. Yet in economy is mostly dependent upon agriculture, their Nationally Determined Contribution (NDC), fishery and livestock production. There are they commit to reducing their greenhouse gas some development challenges in Madagascar, emissions by 14% by 2030 compared with its which make it increasingly vulnerable to climate business as usual scenario. Adaptation is a major change (1). Furthermore, it is hit by tropical priority for Madagascar, considering its high cyclones annually from December to May (2). vulnerability to climate change. In terms of health adaptation, priority actions in the NDC include Climate change is expected to cause rising evaluating the links between climate change temperatures, changing precipitation patterns and the migration of vector-borne diseases and (including flood and drought), sea level rise, evolution of acute respiratory infections, and and extreme weather events (including tropical the implementation of early warning systems for cyclones). Indeed, many of these impacts are health (3). Madagascar 3
CLIMATE HAZARDS RELEVANT FOR HEALTH Climate hazard projections for Madagascar Country-specific projections are outlined up to the year 2100 for climate hazards under a ‘business as usual’ high emissions scenario compared to projections under a ‘two-degree’ scenario with rapidly decreasing global emissions (see Figures 1–5). The climate model projections below present climate hazards under a high emissions scenario, Representative Concentration Pathway 8.5 (RCP8.5 – in orange) and a low emissions scenario (RCP2.6 – in green).a The text describes the projected changes averaged across about 20 global climate models (thick line). The figuresb also show each model individually as well as the 90% model range (shaded) as a measure of uncertainty and the annual and smoothed observed record (in blue).c In the following text the present- day baseline refers to the 30-year average for 1981–2010 and the end-of-century refers to the 30-year average for 2071–2100. Modelling uncertainties associated with the relatively coarse spatial scale of the models compared with that of small island States are not explicitly represented. There are also issues associated with the availability and representativeness of observed data for such locations. Rising temperature Little change in total precipitation FIGURE 1: Mean annual temperature, 1900–2100 FIGURE 2: Total annual precipitation, 1900–2100 28 2000 Mean annual temp (°C) Total annual ppt (mm) 26 1500 1000 24 500 22 0 1900 1950 2000 2050 2100 1900 1950 2000 2050 2100 Year Year Under a high emissions scenario, the mean Total annual precipitation is projected to annual temperature is projected to rise by decrease by about 4% on average under a high about 3.4°C on average by the end-of-century emissions scenario, although the uncertainty (i.e. 2071–2100 compared with 1981–2010). If range is large (-20% to +11%). If emissions emissions decrease rapidly, the temperature rise decrease rapidly, there is little projected change is limited to about 1°C. on average: 60 a decrease of 2% with an uncertainty % total annual rainfall from very wet days range of -10% to +5%. 100 50 Percentage of hot days (%) NOTES 80 40 a Model projections are from CMIP5 for RCP8.5 (high emissions) and RCP2.6 (low emissions). Model anomalies are added to the historical mean and smoothed. 60 30 b Observed historical record of mean temperature is from CRU-TSv3.26 and total precipitation is from GPCC. Observed historical records of extremes are from JRA55 for temperature and from GPCC-FDD for precipitation. c 40 Analysis by the Climatic Research Unit, University of East Anglia, 2018. 20 20 10 0 0 4 1900 1950 2000 2050 2100 Health 1900 and Climate 1950 Change 2000 Country 2050 Profile 2100 Year Year
2424 an Total an Mean Mean Total 500 500 2222 00 1900 1900 1950 1950 2000 2000 2050 2050 2100 2100 1900 1900 1950 1950 2000 2000 2050 2050 2100 2100 Year Year Year Year More high temperature extremes Increase in extreme rainfall FIGURE 3: Percentage of hot days (‘heat stress’), FIGURE 4: Contribution to total annual rainfall 1900–2100 from very wet days (‘extreme rainfall’ and ‘flood risk’), 1900–2100 60 60 wet days days 100 100 very wet 5050 days (%) (%) from very 80 80 hot days 40 40 rainfall from of hot 60 60 3030 annual rainfall Percentage of Percentage 40 40 2020 total annual 2020 1010 % total 00 00 % 1900 1900 1950 1950 2000 2000 2050 2050 2100 2100 1900 1900 1950 1950 2000 2000 2050 2050 2100 2100 Year Year Year Year The percentage of hot daysd is projected to Under a high emissions scenario, the proportion increase substantially from about 15% of all of total annual rainfall from very wet dayse (about observed days on average in 1981–2010 (10% 30% for 1981–2010) could increase by the end- in 1961–1990). Under a high emissions scenario, of-century (to about 35% on average with an about 80% of days on average are defined as uncertainty range of about 25% to 50%), with ‘hot’ by the end-of-century. If emissions decrease little change if emissions decrease rapidly. These rapidly, about 40% of days on average are ‘hot’. projected changes are accompanied by little or Note that for the past few years the models tend no change in total annual rainfall (see Figure 2). to over-estimate the observed increase in hot days. Slightly larger increases are seen in hot nightsd (not shown). SPI FIGURE 5: Standardized Precipitation Index (‘drought’), 1900–2100 3.0 very wet The Standardized Precipitation Index (SPI) is a widely used drought index which expresses 1.5 rainfall deficits/excesses over timescales ranging from 1 to 36 months (here 12 months, i.e. SPI12).f index 0.0 It shows how at the same time extremely dry and extremely wet conditions, relative to the average local conditions, change in frequency and/or −1.5 very dry intensity. −3.0 SPI12 values show little projected change from about zero on average, though year-to-year 1900 1950 2000 2050 2100 variability remains large. A few models indicate Year slightly larger decreases (more frequent/intense dry/drought events) or increases (more frequent/ intense wet events).f d A ‘hot day’ (‘hot night’) is a day when maximum (minimum) temperature exceeds the 90th percentile threshold for that time of the year. e The proportion (%) of annual rainfall totals that falls during very wet days, defined as days that are at least as wet as the historically 5% wettest of all days. f SPI is unitless but can be used to categorize different severities of drought (wet): above +2.0 extremely wet; +2.0 to +1.5 severely wet; +1.5 to +1.0 moderately wet; +1.0 to +0.5 slightly wet; +0.5 to -0.5 near normal conditions; -0.5 to -1.0 slight drought; -1.0 to -1.5 moderate drought; -1.5 to -2.0 severe drought; below -2.0 extreme drought. Madagascar 5
Tropical cyclones It is anticipated that the total number of tropical cyclones may decrease towards the end of the century. However, it is likely that human-induced warming will make cyclones more intense (an increase in wind speed of 2–11% for a mid-range scenario (i.e. RCP4.5 which lies between RCP2.6 and RCP8.5 – shown on pages 4–5) or about 5% for 2°C global warming). Projections suggest that the most intense events (category 4 and 5) will become more frequent (although these projections are particularly sensitive to the spatial resolution of the models). It is also likely that average precipitation rates within 100 km of the storm centre will increase – by a maximum of about 10% per degree of warming. Such increases in rainfall rate would be exacerbated if tropical cyclone translation speeds continue to slow (4–11).a POTENTIAL FUTURE CHANGES IN TROPICAL CYCLONES: A GLOBAL PERSPECTIVE (4–11)a Total number Intensity Frequency of Average category 4 and 5 precipitation rates events near storm centre Increase Decrease Sea level rise Sea level rise is one of the most significant threats to low-lying areas on small islands and atolls. Research indicates that rates of global mean sea level rise are almost certainly accelerating as a result of climate change. The relatively long response times to global warming mean that sea level will continue to rise for a considerable time after any reduction in emissions. The continuing rise in sea level means that higher storm surge levels can be expected regardless of any other changes in the characteristics of storm surges. Potential impacts of sea level rise include Coastal Ecosystem Higher erosion disruption storm surges Water Population Mental contamination displacement health and disruption a Information and understanding about tropical cyclones (including hurricane and typhoons) from observations, theory and climate models have improved in the past few years. It is difficult to make robust projections for specific ocean basins or for changes in storm tracks. Presented here is a synthesis of the expected changes at the global scale. 6 Health and Climate Change Country Profile
HEALTH VULNERABILITY AND ADAPTIVE CAPACITY SDG indicators related to health and climate change Many of the public health gains that have been made in recent decades are at risk due to the direct and indirect impacts of climate variability and climate change. Achieving Sustainable Development Goals (SDGs) across sectors can strengthen health resilience to climate change. 1. NO POVERTY 3. GOOD HEALTH AND WELL-BEING 28 Universal Health Coverage Service Coverage Index (2017)a (13) 6 44.2 Proportion of population living below the national poverty line 70.7% (2012) (12) Current health expenditure as Under-five mortality rate percentage of gross domestic (per 1000 live births) (2017) (15) product (GDP) (2016) (14) 6. CLEAN WATER 13. CLIMATE AND ACTION SANITATION National disaster risk reduction strategy in place (2016) (17) Proportion of total population using at least basic drinking- water services (2017)b (16) YES 54% Proportion of total population using at least basic sanitation 11% services (2017)b (16) a The index is based on ‘medium’ data availability. Values greater than or equal to 80 are presented as ≥80 as the index does not provide fine resolution at high values; 80 should not be considered a target. b Data for safely managed drinking-water and sanitation services are not consistently available for all SIDS at this time, therefore ‘at least basic services’ has been given for comparability. Madagascar 7
Health workforce Public health and health care professionals require training and capacity building to have the knowledge and tools necessary to build climate-resilient health systems. This includes an understanding of climate risks to individuals, communities and health care facilities, and approaches to protect and promote health given the current and projected impacts of climate change. HUMAN RESOURCE CAPACITY (2018) HEALTH WORKFORCE 20% (PER 10 000 POPULATION, 2014) (20) International Health Regulations (IHR) Monitoring 1.8 Medical doctors Framework Human Resources Core Capacity (18) No “Does your human resource capacity as measured through the IHR adequately consider the human resource 1.1 Nurses and midwives requirements to respond to climate-related events?” (19) Yes “Is there a national curriculum developed to train health N/A Environmental and occupational personnel on the health impacts of climate change?” (19) health and hygiene professionals While there are no specific WHO recommendations on national health workforce densities, the ‘Workload Indicators of Staffing Need’ (WISN) is a human resource management tool that can be used to provide insights into staffing needs and decision-making. Additionally, the National Health Workforce Accounts (NHWA) is a system by which countries can progressively improve the availability, quality and use of health workforce data through monitoring of a set of indicators to support achievement of universal health coverage (UHC), SDGs and other health objectives. The purpose of the NHWA is to facilitate the standardization and interoperability of health workforce information. More details about these two resources can be found at: https://www.who.int/activities/improving-health-workforce-data-and-evidence. Health care facilities Climate change poses a serious threat to the functioning of health care facilities. Extreme weather events increase the demand for emergency health services but can also damage health care facility infrastructure and disrupt service provision. Increased risks of climate-sensitive diseases will also require greater capacity from often already strained health services. In SIDS, health care facilities are often in low-lying areas, subject to flooding and storm surges making them particularly vulnerable. 0.27 Health centres* (18) 0.47 Hospitals* (18) * Total density per 100 000 population (2013) (22) 8 Health and Climate Change Country Profile
HEALTH IMPACTS OF CLIMATE CHANGE Heat stress Climate change is expected to increase the mean annual temperature and the intensity and frequency of heat waves, resulting in a greater number of people at risk of heat-related medical conditions. Heat waves, i.e. prolonged periods of excessive heat, can pose a particular threat to human, animal and even plant health, resulting in loss of life, livelihoods, socioeconomic output, reduced labour productivity, rising demand for and cost of cooling options, as well as contribute to the deterioration of environmental determinants of health (air quality, soil, water supply). Heat stress impacts include: Particularly vulnerable groups are: • heat rash/heat cramps • the elderly • dehydration • children • heat exhaustion/heat stroke • individuals with pre-existing conditions (e.g. diabetes) • death. • the socially isolated. Infectious and vector-borne diseases Some of the world’s most virulent infections are also highly sensitive to climate: temperature, precipitation and humidity have a strong influence on the life-cycles of the vectors and the infectious agents they carry and influence the transmission of water- and foodborne diseases (21,22). Small island developing States (SIDS) are vulnerable to disease outbreaks. Climate change could affect the seasonality of such outbreaks, as well as the transmission of vector-borne diseases (23–26). Madagascar 9
Noncommunicable NONCOMMUNICABLE diseases, food and DISEASES IN nutrition security Madagascar 58.3 Small island developing States (SIDS) face distinct challenges that render them particularly vulnerable to the impacts of climate change on food and nutrition security including: small, and widely dispersed, land masses and population; large Healthy life expectancy rural populations; fragile natural environments (2016) (27) and lack of arable land; high vulnerability to 43.1% climate change, external economic shocks, and natural disasters; high dependence on food imports; dependence on a limited number of economic sectors; and distance from global markets. The majority of SIDS also face a “triple- burden” of malnutrition whereby undernutrition, Adult population considered micronutrient deficiencies and overweight and undernourished (2015–2017, obesity exist simultaneously within a population 3-year average) (28) alongside increasing rates of diet-related NCDs. 4.5% Climate change is likely to exacerbate the triple- burden of malnutrition and the metabolic and lifestyle risk factors for diet-related NCDs. It is expected to reduce short- and long-term food and nutrition security both directly, through its Adult population considered effects on agriculture and fisheries, and indirectly, obese (2016) (29) by contributing to underlying risk factors such 3.9% as water insecurity, dependency on imported foods, urbanization and migration and health service disruption. These impacts represent a significant health risk for SIDS, with their particular susceptibility to climate change impacts and already over-burdened health systems, and this Prevalence of diabetes risk is distributed unevenly, with some population in the adult population (2014) (30) groups experiencing greater vulnerability. MOTHER AND CHILD HEALTH 36.8% 7.9% 48.9% 1.1% Iron deficiency Wasting in children Stunting in children Overweight in anaemia in under five years of under five years of children under five women of age (2013) (32) age (2013) (32) years of age (2013) reproductive age (32) (2016) (31) 10 Health and Climate Change Country Profile
HEALTH SECTOR RESPONSE: MEASURING PROGRESS The following section measures progress in the health sector in responding to climate threats based on country reported data (19). Key indicators are aligned with those identi- fied in the Small Island Developing State Action Plan. Empowerment: Progress in leadership and governance National planning for health and climate change Has a national health and climate change strategy or plan been developed?a Title: Plan stratégique d’adaptation du secteur santé au changement climatique Year: 2021 Content and implementation Are health adaptation priorities identified in the strategy/plan? Are the health co-benefits of mitigation action considered in the strategy/plan? Performance indicators are specified Level of implementation of the strategy/plan Low Current health budget covers the cost of implementing the strategy/plan =yes, =no, O=unknown, N/A=not applicable a In this context, a national strategy or plan is a broad term that includes national health and climate strategies as well as the health component of national adaptation plans (H-NAPs). Intersectoral collaboration to address climate change Is there an agreement in place between the ministry of health and other sectors in relation to health and climate change policy? Agreement Sectorb in place Transportation Electricity generation Household energy Agriculture Social services Water, sanitation and wastewater management =yes, =no, O=unknown, N/A=not applicable b Specific roles and responsibilities between the national health authority and the sector indicated are defined in the agreement. Madagascar 11
Evidence: Building the investment case Vulnerability and adaptation assessments for health Has an assessment of health vulnerability and impacts of climate change been conducted at the national level? TITLE: Rapport de l’Etude d’evaluation de la vulnerabilite et des capacites d’adaptation du secteur sante au changement climatique a Madagascar YEAR: 2015 Have the results of the assessment been used for policy prioritization or the allocation of human and financial resources to address the health risks of climate change? Policy prioritization Human and financial resource allocation None Minimal Somewhat Strong Level of influence of assessment results Implementation: Preparedness for climate risks Integrated risk monitoring and early warning Health surveillance system includes Climate-informed Climate-sensitive diseases Health surveillance meteorological health early warning and health outcomes system existsa informationb system (EWS) in place Thermal stress (e.g. heat waves) Vector-borne diseases Foodborne diseases Waterborne diseases Nutrition (e.g. malnutrition associated with extreme climatic events) Injuries (e.g. physical injuries or drowning in extreme weather events) Mental health and well-being Airborne and respiratory diseases =yes, =no, O=unknown, N/A=not applicable a A positive response indicates that the surveillance system is in place, it will identify changing health risks or impacts AND it will trigger early action. b Meteorological information refers to either short-term weather information, seasonal climate information OR long-term climate information. 12 Health and Climate Change Country Profile
Resources: Facilitating access to climate and health finance International climate finance Are international funds to support climate change and health work currently being accessed? If yes, from which sources? Green Climate Fund (GCF) Global Environment Facility (GEF) Other multilateral donors Bilateral donors Other: _______________________________________________________ Funding challenges Greatest challenges faced in accessing international funds Lack of information on the opportunities Lack of country eligibility Lack of connection by health actors Lack of capacity to prepare country proposals with climate change processes None (no challenges/ Lack of success in submitted applications challenges were minimal) Other (please specify): Not applicable Madagascar 13
REFERENCES 1. Climate Change Knowledge Portal: Madagascar. The World Bank; 17. Politique nationale de gestion des risques et des catastrophes 2021 (https://climateknowledgeportal.worldbank.org/country/ 2016-2030. Government of Madagascar; 2016. madagascar, accessed 25 February 2021). 18. International Health Regulations (2005) Monitoring Framework. 2. Madagascar Second Communication to the UNFCCC. The Republic State Party Self-Assessment Annual Reporting tool (e-SPAR). Geneva: of Madagascar (https://unfccc.int/sites/default/files/resource/ World Health Organization; 2019 (https://extranet.who.int/e-spar, Executive%20Summary_SNC%20Madagascar_English.pdf, accessed accessed 9 May 2019). 25 February 2021). 19. WHO Climate and Health Country Survey as part of the WHO 3. Madagascar’s Intended Nationally Determined Contribution. UNFCCC Health and Climate Change Country Profile Initiative. The Republic of Madagascar; 2015 (https://www4.unfccc.int/ Geneva: World Health Organization; 2018 (https://www.who.int/ sites/ndcstaging/PublishedDocuments/Madagascar%20First/ globalchange/resources/countries/en/, accessed 18 May 2021). Madagascar%20INDC%20Eng.pdf, accessed 18 May 2021). 20. WHO Global Health Workforce Statistics, December 2018 update. 4. Christensen JH, Krishna Kumar K, Aldrian E, An S-I, Cavalcanti IFA, Geneva: World Health Organization; 2018 (https://www.who.int/hrh/ de Castro M et al. Climate phenomena and their relevance for statistics/hwfstats/en/, accessed 18 May 2021). future regional climate change. In: Stocker TF, Qin D, Plattner G-K, 21. Atlas of health and climate. Geneva: World Health Organization and Tignor M, Allen SK, Boschung J et al., editors. Climate change 2013: World Meteorological Organization; 2012 (https://www.who.int/ the physical science basis. Contribution of Working Group I to the globalchange/publications/atlas/en/, accessed 18 May 2021). Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press; 22. Hales S, Kovats S, Lloyd S, Campbell-Lendrum D, editors. 2013. Quantitative risk assessment of the effects of climate change on selected causes of death, 2030s and 2050s. Geneva: World 5. Knutson TR, Sirutis JJ, Zhao M, Tuleya RE, Bender M, Vecchi GA et Health Organization; 2014 (https://apps.who.int/iris/bitstream/ al. Global projections of intense tropical cyclone activity for the late handle/10665/134014/9789241507691_eng.pdf?sequence=1, twenty-first century from dynamical downscaling of CMIP5/RCP4.5 accessed 27 May 2019). scenarios. J Clim. 2015;28;7203–24. 23. Quam MB. Imported infections’ importance: global change driving 6. Kossin JP, Emanuel KA, Vecchi GA. The poleward migration of dengue dynamics [dissertation]. Umeå: Umeå University; 2016 the location of tropical cyclone maximum intensity. Nature. (http://umu.diva-portal.org/smash/get/diva2:914952/FULLTEXT01. 2014;509:349–52. doi: 10.1038/nature13278. pdf, accessed 18 May 2021). 7. Kossin JP. A global slowdown of tropical-cyclone translation speed. 24. Liu-Helmersson J. Climate change, dengue and Aedes mosquitoes: Nature. 2018;558:104–8. doi: 10.1038/s41586-018-0158-3. past trends and future scenarios [dissertation]. Umeå: Umeå 8. Sobel AH, Camargo SJ, Hall TM, Lee CY, Tippett MK, Wing AA. Human University; 2018 (https://umu.diva-portal.org/smash/get/ influence on tropical cyclone intensity. Science. 2016;353:242–6. doi: diva2:1172083/FULLTEXT03.pdf, accessed 18 May 2021). 10.1126/science.aaf6574. 25. Liu-Helmersson J, Quam M, Wilder-Smith A, Stenlund H, Ebi K, 9. Sugi M, Hiroyuki M, Kohei Y. Projections of future changes in the Massad E et al. Climate change and Aedes vectors: 21st century frequency of intense tropical cyclones. Clim Dyn. 2017;49:619–32. projections for dengue transmission in Europe. EBioMedicine. doi: 10.1007/s00382-016-3361-7. 2016;7:267–77. doi: 10.1016/j.ebiom.2016.03.046. 10. Walsh KJE, McBride JL, Klotzbach PJ, Balachandran S, Camargo SJ, 26. Rocklöv J, Quam MB, Sudre B, German M, Kraemer MU, Brady O et Holland G et al. Tropical cyclones and climate change. WIREs Climate al. Assessing seasonal risks for the introduction and mosquito borne Change. 2016;7:65–89 (https://minerva-access.unimelb.edu.au/ spread of Zika virus in Europe. EBioMedicine. 2016;9:250–6. doi: bitstream/handle/11343/192963/wires_review_revised%20July%20 10.1016/j.ebiom.2016.06.009. 31%202015.pdf?sequence=1&isAllowed=y, accessed 18 May 2021). 27. Global Health Observatory data repository. Healthy life expectancy 11. Yoshida K, Sugi M, Mizuta R, Murakami H, Ishii M. Future changes (HALE) at birth. Geneva: World Health Organization; 2019 (https:// in tropical cyclone activity in high-resolution large-ensemble www.who.int/gho/mortality_burden_disease/life_tables/hale/en/, simulations. Geophysical Res Lett. 2017;44:9910–17. doi. accessed 9 May 2019). org/10.1002/2017GL075058. 28. The state of food security and nutrition in the world 2018: building 12. Poverty data. Washington (DC): The World Bank; 2019 (https://data. climate resilience for food security and nutrition. Rome; Food and worldbank.org/topic/poverty, accessed 21 March 2019). Agriculture Organization of the United Nations; 2018 (http://www. 13. Global Health Observatory. Universal health coverage portal. fao.org/3/i9553en/i9553en.pdf, accessed 27 May 2019). Geneva: World Health Organization; 2017 (https://www.who.int/data/ 29. Global Health Observatory data repository. Prevalence of obesity gho/data/major-themes/universal-health-coverage-major, accessed among adults, BMI ≥30, crude estimates by country. Geneva: World 18 May 2021). Health Organization; 2017 (http://apps.who.int/gho/data/node.main. 14. Global Health Expenditure Database. Geneva: World Health BMI30C?lang=en, accessed 9 May 2019). Organization; 2019 (https://apps.who.int/nha/database, accessed 17 30. Global report on diabetes. Geneva: World Health May 2019). Organization; 2016 (https://apps.who.int/iris/bitstream/ 15. UN Inter-agency Group for Child Mortality Estimation. Child mortality handle/10665/204871/9789241565257_eng.pdf?sequence=1, estimates. New York: United Nations Children’s Fund; 2018 (https:// accessed 27 May 2019). childmortality.org/data/Madagascar, accessed 24 May 2021). 31. Global Health Observatory. Prevalence of anaemia in women. 16. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Geneva: World Health Organization; 2019 (http://apps.who.int/gho/ Sanitation and Hygiene (WASH). Geneva: World Health Organization/ data/node.main.ANEMIA3?lang=en, accessed 30 May 2019). New York: United Nations Children’s Fund; 2019 (https://washdata. 32. UNICEF-World Health Organization-The World Bank. Joint child org/data, accessed 1 August 2018). malnutrition estimates – Levels and trends; 2019 (https://www.who. int/nutgrowthdb/estimates/en/, accessed 24 May 2021). WHO/HEP/ECH/CCH/21.01.08 © World Health Organization and the United Nations Framework Convention on Climate Change, 2021 Some rights reserved. This work is available under the CC BY-NC-SA 3.0 IGO licence All reasonable precautions have been taken by WHO to verify the information contained in this publication. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for the interpretation and use of the material lies with the reader. In no event shall WHO be liable for damages arising from its use. Most estimates and projections provided in this document have been derived using standard categories and methods to enhance their cross-national comparability. As a result, they should not be regarded as the nationally endorsed statistics of Member States which may have been derived using alternative methodologies. Published official national statistics, if presented, are cited and included in the reference list. Design by Inís Communication from a concept by N. Duncan Mills Photos: Rod Waddington / Flickr
You can also read